Research on improving water quality using two experimental statistical methods

Abstract

This scientific paper addresses the importance of water treatment process until it becomes drinkable, studying the treatment process from different points of view that are considered to be relevant. The choice of this subject was motivated by the water consumption importance for the entire population, the scientific paper proposing to study in what way this water treatment process could be improved, using for analysis two methods of experimental statistical modeling, namely the Taguchi's method and the factorial experiment method. The purpose of this scientific paper was to identify the deficiencies of the water treatment process after it entered the treatment plant and analyze is carried out using the two mentioned methods above, were continued by finding optimization solutions for the process. These solutions are intended to avoid the situations in which the treatment plant may be unable to cover the required volume of drinking water and to ensure the quality of the drinking water supplied to consumers according to the legislation to date. The knowledge benefit of this research consists in the realization of the research intentions formulated and the practical applicability of the results.